Projects per year
Personal profile
Research profile
Carlos Zednik addresses philosophical questions about the explanation of biological and artificial intelligence. For psychology and neuroscience, he aims to better understand the way in which mathematical models and computers simulations are used to discover and describe cognitive mechanisms, especially within distributed brain-body-environment systems. For artificial intelligence, he aims to develop norms and best-practice methods for explainable AI in the context of machine learning.
Academic background
Carlos Zednik received a Bachelor's degree in Computer Science and Philosophy from Cornell University, and a Masters degree in Philosophy of Mind from the University of Warwick. After receiving his PhD from Indiana University (Bloomington) on the philosophical foundations of cognitive science, he received fellowships from the DAAD and Alexander-von-Humboldt Foundation to conduct postdoctoral research at the University of Osnabrück. Before arriving in Eindhoven, he was an Assistant Professor at the Otto-von-Guericke University Magdeburg.
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Collaborations and top research areas from the last five years
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ROBUST AI: Explainable AI for Autonomous Vehicles
Zednik, C. (Project Manager), Ghezzi, M. (Project member) & van Broeckhoven, B. (Project member)
1/09/22 → 31/08/27
Project: Second tier
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Cognitive Models as Surrogate models for Explainable AI (EAISI Startup)
Zednik, C. (Project Manager) & Budding, C. (Project member)
1/01/21 → 31/12/25
Project: First tier
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Technical Expertise on Standard ISO/IEC TS6254 - Explainability
Zednik, C. (Project Manager)
1/09/23 → 29/02/24
Project: Research direct
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popAI: A European Positive Sum Approach towards AI tools in support of Law Enforcement and safeguarding privacy and fundamental rights (ERC Horizon 2020)
Müller, V. C. (Project Manager), Müller, V. C. (Project member), Zednik, C. (Project Manager) & Zednik, C. (Project member)
1/10/21 → 30/09/23
Project: Research direct
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Does Explainable AI Need Cognitive Models?
Budding, C. & Zednik, C., 2024, Proceedings of the Annual Meeting of the Cognitive Science Society. Samuelson, L. K., Frank, S. L., Toneva, M., Mackey, A. & Hazeltine, E. (eds.). University of California, eScholarship, p. 5244-5250 7 p. (Proceedings of the Annual Meeting of the Cognitive Science Society; vol. 46).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile -
Scientific Exploration and Explainable Artificial Intelligence
Zednik, C. (Corresponding author) & Boelsen, H., 10 Mar 2022, In: Minds and Machines. 32, 1, p. 219-239 21 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile34 Citations (Scopus)126 Downloads (Pure) -
Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
Zednik, C. (Corresponding author), Jun 2021, In: Philosophy & Technology. 34, 2, p. 265-288 24 p.Research output: Contribution to journal › Article › Academic › peer-review
222 Citations (Scopus) -
Models and mechanisms in network neuroscience
Zednik, C. (Corresponding author), 2 Jan 2019, In: Philosophical Psychology. 32, 1, p. 23-51 29 p.Research output: Contribution to journal › Article › Academic › peer-review
19 Citations (Scopus) -
Computational Cognitive Neuroscience
Zednik, C., 2018, The Routledge Handbook of the Computational Mind. Routledge Taylor & Francis Group, p. 357-369Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
Prizes
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AlignAI
Zednik, C. (Recipient) & Willemsen, M. C. (Recipient), 1 Sept 2024
Prize: ERC › Other › Scientific
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Generative AI for Academic Writing in Engineering Education
Conijn, R. (Recipient), Zednik, C. (Recipient), Bombaerts, G. (Recipient), Sadowski, B. M. (Recipient) & Barbosa de Oliveira, M. (Recipient), 1 Aug 2023
Prize: Other › Scientific